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DOI: 10.14569/IJACSA.2015.060909
PDF

The Apsidal Precession for Low Earth Sun Synchronized Orbits

Author 1: Shkelzen Cakaj
Author 2: Bexhet Kamo
Author 3: Algenti Lala
Author 4: Ilir Shinko
Author 5: Elson Agastra

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 9, 2015.

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Abstract: By nodal regression and apsidal precession, the Earth flattering at satellite low Earth orbits (LEO) is manifested. Nodal regression refers to the shift of the orbit’s line of nodes over time as Earth revolves around the Sun. Nodal regression is orbit feature utilized for circular orbits to be Sun synchronized. A sun¬-synchronized orbit lies in a plane that maintains a fixed angle with respect to the Earth-Sun direction. In the low Earth Sun synchronized circular orbits are suited the satellites that accomplish their photo imagery missions. Nodal regression depends on orbital altitude and orbital inclination angle. For the respective orbital altitudes the inclination window for the Sun synchronization to be attained is determined. The apsidal precession represents major axis shift, respectively the argument of perigee deviation. The apsidal precession simulation, for inclination window of sun synchronized orbital altitudes, is provided through this paper.

Keywords: LEO; satellite; orbit; apsidal precession

Shkelzen Cakaj, Bexhet Kamo, Algenti Lala, Ilir Shinko and Elson Agastra, “The Apsidal Precession for Low Earth Sun Synchronized Orbits” International Journal of Advanced Computer Science and Applications(IJACSA), 6(9), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060909

@article{Cakaj2015,
title = {The Apsidal Precession for Low Earth Sun Synchronized Orbits},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060909},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060909},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {9},
author = {Shkelzen Cakaj and Bexhet Kamo and Algenti Lala and Ilir Shinko and Elson Agastra}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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